ee7dc09812df5dded34adcde4267d9c754e3b655,plantcv/plantcv/hyperspectral/read_data.py,,read_data,#,10

Before Change

def read_data(scandir, imgname):

    raw = np.fromfile(os.path.join(scandir, imgname), np.float32, -1)
    bil_rcb = raw.reshape(1704, 978, 1600).transpose((0, 2, 1))
    return bil_rcb

After Change

    header = open(headername)

    // Loop through and create a dictonary from the header file
    for i, string in enumerate(header):
        if "=" in string:
            header_data = header[i].split(" = ")
            header_dict.update({header_data[0]: header_data[1].rstrip()})

    bands = header_dict["bands"]

    return raw_data, bands

Instances